5 citations · 27 across the 19 of their papers we have counts for
4 papers · 1 filter
Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data
Yabo Niu, Yang Ni, Debdeep Pati +1
In a traditional Gaussian graphical model, data homogeneity is routinely assumed with no extra variables affecting the conditional independence. In modern genomic datasets, there i…
Bayesian Flexible Modelling of Spatially Resolved Transcriptomic Data
Arhit Chakrabarti, Yang Ni, Bani K. Mallick
Single-cell RNA-sequencing technologies may provide valuable insights to the understanding of the composition of different cell types and their functions within a tissue. Recent te…
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior
Shuoli Chen, Kejun He, Shiyuan He +2
Tensor regression methods have been widely used to predict a scalar response from covariates in the form of a multiway array. In many applications, the regions of tensor covariates…
Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data
Arhit Chakrabarti, Yang Ni, Ellen Ruth A. Morris +3
We consider the problem of clustering grouped data with possibly non-exchangeable groups whose dependencies can be characterized by a known directed acyclic graph. To allow the sha…